Snapshot · The Rest Is Politics
Britain's entire AI infrastructure is built on an American technology stack, leaving the country dangerously exposed if a future US administration decides to weaponise access to frontier AI models.
Where this was said
At 54:30 · chapter starts 52:00
The conversation turns to the geopolitical landscape that any incoming Prime Minister will have to navigate, and it is formidable. On Russia, Stewart argues the entire defence procurement strategy depends on whether you think the threat materialises by 2030 or 2035. On China, the point is less discussed but arguably more consequential: a cheap currency, state subsidies, and a sophisticated technology strategy have hollowed out European and American industry. On the US, Stewart raises the Malcolm Turnbull framework of capacity versus intent — even if Trump's America does not intend to weaponise Britain's dependency on American cloud computing, AI, and payment systems, the capacity exists and a future president might use it. Campbell adds the Russia-MAGA nexus: Trump's crowing about Starmer's resignation was almost immediately reposted approvingly by Kirill Dmitriev, Putin's key envoy. Stewart lands on the conclusion that the honest answer to all these dependencies is closer strategic alignment with Europe — a conclusion that circles back to Brexit and the constituency Burnham has just won, which voted 65% Leave.
The Makerfield by-election constituency that Andy Burnham won voted approximately 65% for Brexit — underscoring the tension between his pro-European instincts and his new electoral base.
Britain has built its entire AI stack on American foundations. If access is cut off, the country has nothing. Rory Stewart lays out four options: double down on the US, hedge with Chinese open-source, buy chips and host weights domestically, or launch a multi-country Manhattan Project for sovereign AI. All are expensive. Doing nothing is the most expensive of all.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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